Co

Composable LLM prompting and inheritance [video]

Hacker News

Composable LLM prompting and inheritance [video]

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
81%81% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Th
The beginner's guide to LLM prompting40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The beginner's guide to LLM prompting

Hacker News1
PandAi7
PandAi752%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Are you tired of prompting?

Indie Hackers1$9/moai
reelslaunch
reelslaunch15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Less prompting. More directing

Indie Hackers
Pr
PromptL, a templating language designed for LLM prompting43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PromptL, a templating language designed for LLM prompting

Hacker News7
LL
LLM Prompting Templates for Files / Source-Code40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LLM Prompting Templates for Files / Source-Code

Hacker News2
I
I made an app so I'll never worry about prompting again44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made an app so I'll never worry about prompting again

Hacker News1
Re
Redis-LLM – Redis module integrates LLM with Redis45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Redis-LLM – Redis module integrates LLM with Redis

Hacker News2
Li
LitLLM the Spiciest LLM Wrapper34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LitLLM the Spiciest LLM Wrapper

Hacker News1
LL
LLM Reasonsers46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LLM Reasonsers

Hacker News2
LLM Hotkey
LLM Hotkey39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRROther